/***************************************************************************
 *   Copyright (C) 2010 by Oleg Goncharov  *
 *   $EMAIL$                           *                          
 *                                                                         *
 *   This file is part of ChessVision.                                     *
 *                                                                         *
 *   ChessVision is free software; you can redistribute it and/or modify   *
 *   it under the terms of the GNU General Public License as published by  *
 *   the Free Software Foundation; either version 2 of the License, or     *
 *   (at your option) any later version.                                   *
 *                                                                         *
 *   This program is distributed in the hope that it will be useful,       *
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of        *
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the         *
 *   GNU General Public License for more details.                          *
 *                                                                         *
 *   You should have received a copy of the GNU General Public License     *
 *   along with this program; if not, write to the                         *
 *   Free Software Foundation, Inc.,                                       *
 *   59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.             *
 ***************************************************************************/
#ifndef CKMEANFIGURE_H
#define CKMEANFIGURE_H

#include <opencv/cxcore.h>
#include <opencv/ml.h>

#include "cmulticlassfigure.h"
#include "error/cerror.h"

namespace Chess {

/**
Для кластеризации фигур используется алгоритм K-средних.
	@author Goncharov Oleg <goncharovoi@yandex.ru>
*/
class CFigureKMean : public CFigureMultiClass {
protected:
	int k;
	CvKNearest classifier;
public:
	CFigureKMean(const std::string& config, ClassModel _model, int _k = 16, int history_length = 0);
	
	void SetK(int _k) { 
		if (_k > 0 && _k <= 32) k = _k; 
		else throw Errors::CBadArgError();
	}
private:
	void Train(CvMat samples, CvMat classes, CvMat samples_idx);
	bool Classify(CvMat data, CvMat classes);
};

}

#endif
